{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bohndesliga Table Style\n",
    "\n",
    "Bohndesliga is a german online broadbast by [Rocket Beans TV](https://rocketbeans.tv/). In their show they discuss the recent games of the Bundesliga (in german). They have created a nice visual style to show the Bundesliga table that we are going to recreate with plottable (with a few details adjusted).\n",
    "\n",
    "You can view an example of the table we are going to recreate at this [timestamped video](https://youtu.be/VhLTS8J1N_M?t=5578)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from plottable import ColDef, Table\n",
    "from plottable.plots import image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "FIVETHIRTYEIGHT_URLS = {\n",
    "    \"SPI_MATCHES\": \"https://projects.fivethirtyeight.com/soccer-api/club/spi_matches.csv\",\n",
    "    \"SPI_MATCHES_LATEST\": \"https://projects.fivethirtyeight.com/soccer-api/club/spi_matches_latest.csv\",\n",
    "}\n",
    "\n",
    "df = pd.read_csv(FIVETHIRTYEIGHT_URLS[\"SPI_MATCHES_LATEST\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "bl = df.loc[df.league == \"German Bundesliga\"].dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_points(df: pd.DataFrame) -> pd.DataFrame:\n",
    "    df[\"pts_home\"] = np.where(\n",
    "        df[\"score1\"] > df[\"score2\"], 3, np.where(df[\"score1\"] == df[\"score2\"], 1, 0)\n",
    "    )\n",
    "    df[\"pts_away\"] = np.where(\n",
    "        df[\"score1\"] < df[\"score2\"], 3, np.where(df[\"score1\"] == df[\"score2\"], 1, 0)\n",
    "    )\n",
    "    \n",
    "    return df\n",
    "\n",
    "\n",
    "def get_wins_draws_losses(games: pd.DataFrame) -> pd.DataFrame:\n",
    "    return (\n",
    "        games.rename({\"pts_home\": \"pts\", \"team1\": \"team\"}, axis=1)\n",
    "        .groupby(\"team\")[\"pts\"]\n",
    "        .value_counts()\n",
    "        .add(\n",
    "            games.rename({\"pts_away\": \"pts\", \"team2\": \"team\"}, axis=1)\n",
    "            .groupby(\"team\")[\"pts\"]\n",
    "            .value_counts(),\n",
    "            fill_value=0,\n",
    "        )\n",
    "        .astype(int)\n",
    "        .rename(\"count\")\n",
    "        .reset_index(level=1)\n",
    "        .pivot(columns=\"pts\", values=\"count\")\n",
    "        .rename({0: \"L\", 1: \"D\", 3: \"W\"}, axis=1)[[\"W\", \"D\", \"L\"]]\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "bl = add_points(bl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "perform = (\n",
    "    bl.groupby(\"team1\")[[\n",
    "        \"pts_home\",\n",
    "        \"score1\",\n",
    "        \"score2\",\n",
    "        \"xg1\",\n",
    "        \"xg2\",\n",
    "    ]]\n",
    "    .sum()\n",
    "    .set_axis(\n",
    "        [\n",
    "            \"pts\",\n",
    "            \"gf\",\n",
    "            \"ga\",\n",
    "            \"xgf\",\n",
    "            \"xga\",\n",
    "        ],\n",
    "        axis=1,\n",
    "    )\n",
    "    .add(\n",
    "        bl.groupby(\"team2\")[[\n",
    "            \"pts_away\",\n",
    "            \"score2\",\n",
    "            \"score1\",\n",
    "            \"xg2\",\n",
    "            \"xg1\",\n",
    "        ]]\n",
    "        .sum()\n",
    "        .set_axis(\n",
    "            [\n",
    "                \"pts\",\n",
    "                \"gf\",\n",
    "                \"ga\",\n",
    "                \"xgf\",\n",
    "                \"xga\",\n",
    "            ],\n",
    "            axis=1,\n",
    "        )\n",
    "    )\n",
    ")\n",
    "\n",
    "perform.index.name = \"team\"\n",
    "\n",
    "perform[\"gd\"] = perform[\"gf\"] - perform[\"ga\"]\n",
    "\n",
    "perform = perform[\n",
    "    [\n",
    "        \"pts\",\n",
    "        \"gd\",\n",
    "        \"gf\",\n",
    "        \"ga\",\n",
    "        \"xgf\",\n",
    "        \"xga\",\n",
    "    ]\n",
    "]\n",
    "\n",
    "perform[\"games\"] = bl.groupby(\"team1\").size().add(bl.groupby(\"team2\").size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "wins_draws_losses = get_wins_draws_losses(bl)\n",
    "perform = pd.concat([perform, wins_draws_losses], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pts</th>\n",
       "      <th>gd</th>\n",
       "      <th>gf</th>\n",
       "      <th>ga</th>\n",
       "      <th>xgf</th>\n",
       "      <th>xga</th>\n",
       "      <th>games</th>\n",
       "      <th>W</th>\n",
       "      <th>D</th>\n",
       "      <th>L</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1. FC Union Berlin</th>\n",
       "      <td>26</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>12.12</td>\n",
       "      <td>13.89</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bayer Leverkusen</th>\n",
       "      <td>12</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>20.14</td>\n",
       "      <td>21.51</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bayern Munich</th>\n",
       "      <td>31</td>\n",
       "      <td>34.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>39.50</td>\n",
       "      <td>15.53</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borussia Dortmund</th>\n",
       "      <td>25</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>22.70</td>\n",
       "      <td>16.51</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borussia Monchengladbach</th>\n",
       "      <td>19</td>\n",
       "      <td>2.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>22.41</td>\n",
       "      <td>22.14</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eintracht Frankfurt</th>\n",
       "      <td>23</td>\n",
       "      <td>6.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>21.27</td>\n",
       "      <td>16.80</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FC Augsburg</th>\n",
       "      <td>14</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>14.01</td>\n",
       "      <td>28.49</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FC Cologne</th>\n",
       "      <td>17</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>20.53</td>\n",
       "      <td>17.21</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hertha Berlin</th>\n",
       "      <td>11</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>18.38</td>\n",
       "      <td>23.08</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mainz</th>\n",
       "      <td>18</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.72</td>\n",
       "      <td>20.70</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RB Leipzig</th>\n",
       "      <td>22</td>\n",
       "      <td>6.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>25.70</td>\n",
       "      <td>16.61</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC Freiburg</th>\n",
       "      <td>27</td>\n",
       "      <td>7.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>24.44</td>\n",
       "      <td>15.69</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Schalke 04</th>\n",
       "      <td>6</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>15.49</td>\n",
       "      <td>23.92</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TSG Hoffenheim</th>\n",
       "      <td>18</td>\n",
       "      <td>3.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20.93</td>\n",
       "      <td>18.72</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VfB Stuttgart</th>\n",
       "      <td>14</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>21.54</td>\n",
       "      <td>20.43</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VfL Bochum</th>\n",
       "      <td>10</td>\n",
       "      <td>-23.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>14.15</td>\n",
       "      <td>32.38</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VfL Wolfsburg</th>\n",
       "      <td>20</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>18.95</td>\n",
       "      <td>22.57</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Werder Bremen</th>\n",
       "      <td>21</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>21.25</td>\n",
       "      <td>25.05</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          pts    gd    gf    ga    xgf    xga  games  W  D   L\n",
       "team                                                                          \n",
       "1. FC Union Berlin         26   7.0  21.0  14.0  12.12  13.89     13  8  2   3\n",
       "Bayer Leverkusen           12  -4.0  21.0  25.0  20.14  21.51     13  3  3   7\n",
       "Bayern Munich              31  34.0  47.0  13.0  39.50  15.53     14  9  4   1\n",
       "Borussia Dortmund          25   6.0  23.0  17.0  22.70  16.51     14  8  1   5\n",
       "Borussia Monchengladbach   19   2.0  24.0  22.0  22.41  22.14     14  5  4   5\n",
       "Eintracht Frankfurt        23   6.0  27.0  21.0  21.27  16.80     13  7  2   4\n",
       "FC Augsburg                14  -7.0  16.0  23.0  14.01  28.49     13  4  2   7\n",
       "FC Cologne                 17  -5.0  20.0  25.0  20.53  17.21     13  4  5   4\n",
       "Hertha Berlin              11  -5.0  17.0  22.0  18.38  23.08     14  2  5   7\n",
       "Mainz                      18  -4.0  18.0  22.0  17.72  20.70     13  5  3   5\n",
       "RB Leipzig                 22   6.0  25.0  19.0  25.70  16.61     13  6  4   3\n",
       "SC Freiburg                27   7.0  20.0  13.0  24.44  15.69     13  8  3   2\n",
       "Schalke 04                  6 -18.0  12.0  30.0  15.49  23.92     13  1  3   9\n",
       "TSG Hoffenheim             18   3.0  19.0  16.0  20.93  18.72     13  5  3   5\n",
       "VfB Stuttgart              14  -7.0  18.0  25.0  21.54  20.43     14  3  5   6\n",
       "VfL Bochum                 10 -23.0  13.0  36.0  14.15  32.38     14  3  1  10\n",
       "VfL Wolfsburg              20   3.0  22.0  19.0  18.95  22.57     14  5  5   4\n",
       "Werder Bremen              21  -1.0  24.0  25.0  21.25  25.05     14  6  3   5"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# mapping teamnames to logo paths\n",
    "\n",
    "club_logo_path = Path(\"bundesliga_crests_22_23\")\n",
    "club_logo_files = list(club_logo_path.glob(\"*.png\"))\n",
    "club_logos_paths = {f.stem: f for f in club_logo_files}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "perform = perform.reset_index()\n",
    "\n",
    "# Add a column for crests\n",
    "perform.insert(0, \"crest\", perform[\"team\"])\n",
    "perform[\"crest\"] = perform[\"crest\"].replace(club_logos_paths)\n",
    "\n",
    "# sort by table standings\n",
    "perform = perform.sort_values(by=[\"pts\", \"gd\", \"gf\"], ascending=False)\n",
    "\n",
    "for colname in [\"gd\", \"gf\", \"ga\"]:\n",
    "    perform[colname] = perform[colname].astype(\"int32\")\n",
    "\n",
    "perform[\"goal_difference\"] = perform[\"gf\"].astype(str) + \":\" + perform[\"ga\"].astype(str)\n",
    "\n",
    "perform[\"rank\"] = list(range(1, 19))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building the Bohndesliga Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "row_colors = {\n",
    "    \"top4\": \"#2d3636\",\n",
    "    \"top6\": \"#516362\",\n",
    "    \"playoffs\": \"#8d9386\",\n",
    "    \"relegation\": \"#c8ab8d\",\n",
    "    \"even\": \"#627979\",\n",
    "    \"odd\": \"#68817e\",\n",
    "}\n",
    "\n",
    "bg_color = row_colors[\"odd\"]\n",
    "text_color = \"#e0e8df\"\n",
    "\n",
    "table_cols = [\"crest\", \"team\", \"games\", \"W\", \"D\", \"L\", \"goal_difference\", \"gd\", \"pts\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crest</th>\n",
       "      <th>team</th>\n",
       "      <th>games</th>\n",
       "      <th>W</th>\n",
       "      <th>D</th>\n",
       "      <th>L</th>\n",
       "      <th>goal_difference</th>\n",
       "      <th>gd</th>\n",
       "      <th>pts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bundesliga_crests_22_23\\Bayern Munich.png</td>\n",
       "      <td>Bayern Munich</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>47:13</td>\n",
       "      <td>34</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>bundesliga_crests_22_23\\SC Freiburg.png</td>\n",
       "      <td>SC Freiburg</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>20:13</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bundesliga_crests_22_23\\1. FC Union Berlin.png</td>\n",
       "      <td>1. FC Union Berlin</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>21:14</td>\n",
       "      <td>7</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>bundesliga_crests_22_23\\Borussia Dortmund.png</td>\n",
       "      <td>Borussia Dortmund</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>23:17</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>bundesliga_crests_22_23\\Eintracht Frankfurt.png</td>\n",
       "      <td>Eintracht Frankfurt</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>27:21</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>bundesliga_crests_22_23\\RB Leipzig.png</td>\n",
       "      <td>RB Leipzig</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>25:19</td>\n",
       "      <td>6</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>bundesliga_crests_22_23\\Werder Bremen.png</td>\n",
       "      <td>Werder Bremen</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>24:25</td>\n",
       "      <td>-1</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>bundesliga_crests_22_23\\VfL Wolfsburg.png</td>\n",
       "      <td>VfL Wolfsburg</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>22:19</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>bundesliga_crests_22_23\\Borussia Monchengladba...</td>\n",
       "      <td>Borussia Monchengladbach</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>24:22</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>bundesliga_crests_22_23\\TSG Hoffenheim.png</td>\n",
       "      <td>TSG Hoffenheim</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>19:16</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>bundesliga_crests_22_23\\Mainz.png</td>\n",
       "      <td>Mainz</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>18:22</td>\n",
       "      <td>-4</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>bundesliga_crests_22_23\\FC Cologne.png</td>\n",
       "      <td>FC Cologne</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>20:25</td>\n",
       "      <td>-5</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>bundesliga_crests_22_23\\VfB Stuttgart.png</td>\n",
       "      <td>VfB Stuttgart</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>18:25</td>\n",
       "      <td>-7</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>bundesliga_crests_22_23\\FC Augsburg.png</td>\n",
       "      <td>FC Augsburg</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>16:23</td>\n",
       "      <td>-7</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>bundesliga_crests_22_23\\Bayer Leverkusen.png</td>\n",
       "      <td>Bayer Leverkusen</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>21:25</td>\n",
       "      <td>-4</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>bundesliga_crests_22_23\\Hertha Berlin.png</td>\n",
       "      <td>Hertha Berlin</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>17:22</td>\n",
       "      <td>-5</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>bundesliga_crests_22_23\\VfL Bochum.png</td>\n",
       "      <td>VfL Bochum</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>13:36</td>\n",
       "      <td>-23</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>bundesliga_crests_22_23\\Schalke 04.png</td>\n",
       "      <td>Schalke 04</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>12:30</td>\n",
       "      <td>-18</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                crest  \\\n",
       "2           bundesliga_crests_22_23\\Bayern Munich.png   \n",
       "11            bundesliga_crests_22_23\\SC Freiburg.png   \n",
       "0      bundesliga_crests_22_23\\1. FC Union Berlin.png   \n",
       "3       bundesliga_crests_22_23\\Borussia Dortmund.png   \n",
       "5     bundesliga_crests_22_23\\Eintracht Frankfurt.png   \n",
       "10             bundesliga_crests_22_23\\RB Leipzig.png   \n",
       "17          bundesliga_crests_22_23\\Werder Bremen.png   \n",
       "16          bundesliga_crests_22_23\\VfL Wolfsburg.png   \n",
       "4   bundesliga_crests_22_23\\Borussia Monchengladba...   \n",
       "13         bundesliga_crests_22_23\\TSG Hoffenheim.png   \n",
       "9                   bundesliga_crests_22_23\\Mainz.png   \n",
       "7              bundesliga_crests_22_23\\FC Cologne.png   \n",
       "14          bundesliga_crests_22_23\\VfB Stuttgart.png   \n",
       "6             bundesliga_crests_22_23\\FC Augsburg.png   \n",
       "1        bundesliga_crests_22_23\\Bayer Leverkusen.png   \n",
       "8           bundesliga_crests_22_23\\Hertha Berlin.png   \n",
       "15             bundesliga_crests_22_23\\VfL Bochum.png   \n",
       "12             bundesliga_crests_22_23\\Schalke 04.png   \n",
       "\n",
       "                        team  games  W  D   L goal_difference  gd  pts  \n",
       "2              Bayern Munich     14  9  4   1           47:13  34   31  \n",
       "11               SC Freiburg     13  8  3   2           20:13   7   27  \n",
       "0         1. FC Union Berlin     13  8  2   3           21:14   7   26  \n",
       "3          Borussia Dortmund     14  8  1   5           23:17   6   25  \n",
       "5        Eintracht Frankfurt     13  7  2   4           27:21   6   23  \n",
       "10                RB Leipzig     13  6  4   3           25:19   6   22  \n",
       "17             Werder Bremen     14  6  3   5           24:25  -1   21  \n",
       "16             VfL Wolfsburg     14  5  5   4           22:19   3   20  \n",
       "4   Borussia Monchengladbach     14  5  4   5           24:22   2   19  \n",
       "13            TSG Hoffenheim     13  5  3   5           19:16   3   18  \n",
       "9                      Mainz     13  5  3   5           18:22  -4   18  \n",
       "7                 FC Cologne     13  4  5   4           20:25  -5   17  \n",
       "14             VfB Stuttgart     14  3  5   6           18:25  -7   14  \n",
       "6                FC Augsburg     13  4  2   7           16:23  -7   14  \n",
       "1           Bayer Leverkusen     13  3  3   7           21:25  -4   12  \n",
       "8              Hertha Berlin     14  2  5   7           17:22  -5   11  \n",
       "15                VfL Bochum     14  3  1  10           13:36 -23   10  \n",
       "12                Schalke 04     13  1  3   9           12:30 -18    6  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perform[table_cols]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setting up the ColumnDefinitions\n",
    "\n",
    "With the ColumnDefinitions we we can adjust the tables style by supplying keywords such as `title`, `width`, `formatters` and `textprops`.\n",
    "\n",
    "```{seealso}\n",
    "You can view more details in the [Using ColumnDefinition Notebook](../notebooks/column_definition.ipynb).\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "table_col_defs = [\n",
    "    ColDef(\"rank\", width=0.5, title=\"\"),\n",
    "    ColDef(\"crest\", width=0.35, plot_fn=image, title=\"\"),\n",
    "    ColDef(\"team\", width=2.5, title=\"\", textprops={\"ha\": \"left\"}),\n",
    "    ColDef(\"games\", width=0.5, title=\"Games\"),\n",
    "    ColDef(\"W\", width=0.5),\n",
    "    ColDef(\"D\", width=0.5),\n",
    "    ColDef(\"L\", width=0.5),\n",
    "    ColDef(\"goal_difference\", title=\"Goals\"),\n",
    "    ColDef(\"gd\", width=0.5, title=\"\", formatter=\"{:+}\"),\n",
    "    ColDef(\"pts\", border=\"left\", title=\"Points\"),\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the Table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{seealso}\n",
    "Here we use various keywords of `Table` to control its appearance. You can view more details in the [Styling a Table Notebook](../notebooks/column_definition.ipynb).\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1200 with 19 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(14, 12))\n",
    "\n",
    "plt.rcParams[\"text.color\"] = text_color\n",
    "plt.rcParams[\"font.family\"] = \"Roboto\"\n",
    "\n",
    "fig.set_facecolor(bg_color)\n",
    "ax.set_facecolor(bg_color)\n",
    "\n",
    "table = Table(\n",
    "    perform,\n",
    "    column_definitions=table_col_defs,\n",
    "    row_dividers=True,\n",
    "    col_label_divider=False,\n",
    "    footer_divider=True,\n",
    "    index_col=\"rank\",\n",
    "    columns=table_cols,\n",
    "    even_row_color=row_colors[\"even\"],\n",
    "    footer_divider_kw={\"color\": bg_color, \"lw\": 2},\n",
    "    row_divider_kw={\"color\": bg_color, \"lw\": 2},\n",
    "    column_border_kw={\"color\": bg_color, \"lw\": 2},\n",
    "    textprops={\"fontsize\": 16, \"ha\": \"center\", \"fontname\": \"Roboto\"},\n",
    ")\n",
    "\n",
    "for idx in [0, 1, 2, 3]:\n",
    "    table.rows[idx].set_facecolor(row_colors[\"top4\"])\n",
    "    \n",
    "for idx in [4, 5]:\n",
    "    table.rows[idx].set_facecolor(row_colors[\"top6\"])\n",
    "    \n",
    "table.rows[15].set_facecolor(row_colors[\"playoffs\"])\n",
    "\n",
    "for idx in [16, 17]:\n",
    "    table.rows[idx].set_facecolor(row_colors[\"relegation\"])\n",
    "    table.rows[idx].set_fontcolor(row_colors[\"top4\"])\n",
    "\n",
    "    \n",
    "fig.savefig(\n",
    "    \"images/bohndesliga_table_recreation.png\",\n",
    "    facecolor=fig.get_facecolor(),\n",
    "    dpi=200,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note on the slightly adjusted details:  \n",
    "I chose to make the light text a little lighter than the original and used the background color of the top4 rows as the fontcolor for the bottom two rows because I think the higher contrast makes it a little bit easier to read.  \n",
    "I also chose to stick to the light text on the background for the header row to keep this consistent.  \n",
    "Finally I added a little clarity by adding titles to the points and goal difference columns. This also allowed me to not highlight the points additionally with a bold weight."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.5 ('env': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "fad163352f6b6c4f05b9b8d41b1f28c58b235e61ec56c8581176f01128143b49"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}
